PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-04-09 10:22:55.145649+00:00 (UTC)
In US/Central Time, this is 2024-04-09 05:22:55.145649-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/110b22a0bcf57ab5a489ceeaa6622d450e8edfcf93f317f825ac5c3f116a285c.png
We are just generating a random time serie here.
../_images/b87373db6c0956484233946ad7acc2446876a3f2bbd1515a443e73894c8ddd41.png
../_images/05eedd602973a4c7ba3e87ffe49ef863cbb121caeab0545e0e2816459b22c076.png